News

  • [Sep, 2023] Our work for optimizing JS on mobile is accepted by IEEE Transaction on Mobile Computing ‘2023
  • [Jun, 2023] Our paper Identifying underlying influential factors in information diffusion process on social media platform: A hybrid approach of data mining and time series regression is accepted by Information Processing and Management ‘2023
  • [Jun, 2023] Our paper Covert Federated Learning via Intelligent Reflecting Surfaces is accepted by IEEE Transactions on Communications ‘2023
  • [Oct, 2022] Our paper for optimizing video super-resolution is accepted by HPCC ‘2022
  • [Aug, 2022] Our paper DSSDPP: Data Selection and Sampling based Domain Programming Predictor for Cross-project Defect Prediction is accepted by Transactions on Software Engineering ‘2022
  • [Feb, 2022] Our work for exploring the impact of negative samples of contrastive learning is accepted by ACL Findings ‘2022
  • [Dec, 2021] Our work for Mobile Augmented Reality optimization is accepted by Ubicomp ‘2022
  • [Sep, 2021] Our work on optimizing deep learning inference by leveraging edge computing is accepted by ICPADS ‘2021
  • [Dec, 2019] Our work on optimizing interactive web browsing is accepted by INFOCOM ‘2020
  • [Nov, 2018] Our paper on optimising web browsing on embedded devices is accepted by CoNEXT ‘18
  • [Sep, 2018] Our paper on compressing deep learning model is accepted by ISPA ‘18

Research Team

Graduate Students

  • Ruiyu Yan, 9/ 2022 -, co-supervise with Prof. Ling Gao;
  • Xiaoao Zhu, 9 / 2023 - ;
  • Rongqing Liu, 9 / 2022 - ;
  • Weihang Chen, 9 / 2022 - ;
  • Chenge Jia, 9 / 2021 - (Now internship at GE, Xi'an);
  • Yuhua Wang, 9 / 2021 - ;

Alumni

  • Guanhua Yang, 09 / 2020 - 06 / 2023 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) -first job: ABC,Shaanxi
  • Bing Zhou, 09 / 2020 - 06 / 2023 (Graduate student, the Northwest University) -first job: HONOR, Xi'an
  • Yihao Wang, 09 / 2019 - 05 / 2022 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - Now Ph.D candidate in Sun Yat-sen University, China
  • Le Chen 09 / 2018 - 07 / 2021 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - first job: ICBC (ShaanXi)
  • Xing Dao 09 / 2018 - 07 / 2021 (Graduate student, co-supervise with Hai Wang from the Northwest University) - first job: Zhongxing Telecom Equipment (Xian)
  • Zhewen Zhang 09 / 2014 - 07 / 2017 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - first job: Bank of China Software Center (Xian)
  • Yanchao Guo 09 / 2015 - 07 / 2018 (Graduate student, co-supervise with Hai Wang from the Northwest University) - first job: Jing Dong
  • Qing Qin 09 / 2016 - 07 / 2019 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - first job: China Aerospace Science and Technology Corporation
  • Jialong Yu 09 / 2016 - 07 / 2019 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - first job: China Unionpay

Recent Publications

Google Scholar

[TCOM'23] Covert Federated Learning via Intelligent Reflecting Surfaces

, 2023.
[HPCC'22] Adaptive Model Selection for Video Super Resolution

, 2022.
[Ubicomp'22] Adaptive Computation Offloading for Mobile Augmented Reality

, 2022.
[Computer Networks] Towards practical 3D ultrasound sensing on commercial-off-the-shelf mobile

, 2021.

Preprint

[INFOCOM '20] Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions

, 2020.

Preprint

[CoNEXT '18] Proteus: Network-aware Web Browsing on Heterogeneous Mobile Systems

, 2018.

Preprint

Projects

基于“云-端”融合编译的大规模移动应用能效优化研究

国家自然科学基金面上项目, PI, 2024 - 2027

基于华为鸿蒙操作系统交互式移动应用的自适应编译优化研究

陕西省重点研发计划-一般项目, PI, 2023 - 2024

Energy-efficient resource scheduling for Mobile Web-based Applications: A Quality of Experience Based Approach

国家自然科学基金青年项目, PI, 2020 - 2022

Optimize web browsing performance based on Maching learning approach.

Natural Science Basic Research Program of Shaanxi Province, PI, 2019 - 2021

Energy and Performance Optimisation for Mobile Systems

Fundamental Research Funds for the Central Universities, PI, 2018 - 2019

Collective Optimisation for Mobile Computing

Shaanxi Normal University Early Career Grant, PI, 2017 -

Teaching

Teaching @ Shaanxi Normal University

  • Linux basic course, 2021-2022
  • Scientific Paper Writing, 2021-2022
  • Development of Android Application, 2017-2018, 2019-2020
  • Data Structure, 2017-2018, 2019-2020
  • Information, Organization and Management, 2017-2018

Services

Professional Services

Biography

  • March, 2019 - March, 2020, Academic visiting in Lancaster Universiy and University of Leeds, supported by CSC. Academic advisor: Professor Zheng Wang.
  • July, 2017 -, Lecturer, School of Computer Sciences, Shaanxi Normal University.
  • 2014 - 2017, PhD Student, the Northwest University. Academic advisor: Professor Ling Gao.
  • September, 2015 - March, 2016, Visiting PhD Student, Lancaster University. Aademic advisor: Professor Zheng Wang.
  • 2013, System Test Engineer, IBM Xi’an CSTL

Contact

  • {name} [at] {snnu.edu.cn}
  • School of Computer Science, Shaanxi Normal University, Xi'an, China
  • Please email me for an appointment